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GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy by MuXodious

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GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy is an open-source language model by MuXodious. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.27.

  Abliterated Base model:adapter:meta-llama/... Base model:finetune:trentmkell... Base model:trentmkelly/gpt-4o-...   Conversational   Decensored   Dpo   Endpoints compatible   Heretic   Instruct   Llama   Lora   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Uncensored
Model Card on HF 🤗: https://huggingface.co/MuXodious/gpt-4o-distil-Llama-3.1-8B-Instruct-PaperWitch-heresy 

GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy Benchmarks

LLME Score: 0.27134
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy (MuXodious/gpt-4o-distil-Llama-3.1-8B-Instruct-PaperWitch-heresy)
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GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy Parameters and Internals

LLM NameGPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy
Repository 🤗https://huggingface.co/MuXodious/gpt-4o-distil-Llama-3.1-8B-Instruct-PaperWitch-heresy 
Model Namellama-3.1-8b-4o-final
Base Model(s)  trentmkelly/gpt-4o-distil-Llama-3.1-8B-Instruct   trentmkelly/gpt-4o-distil-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-04-14
MaintainerMuXodious
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.57.6
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256

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Rank the GPT 4o Distil Llama 3.1 8B Instruct PaperWitch Heresy Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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